iDMET: network-based approach for integrating differential analysis of cancer metabolomics

BACKGROUND: Comprehensive metabolomic analyses have been conducted in various institutes and a large amount of metabolomic data are now publicly available. To help fully exploit such data and facilitate their interpretation, metabolomic data obtained from different facilities and different samples s...

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Detalles Bibliográficos
Autores principales: Matsuta, Rira, Yamamoto, Hiroyuki, Tomita, Masaru, Saito, Rintaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706903/
https://www.ncbi.nlm.nih.gov/pubmed/36443658
http://dx.doi.org/10.1186/s12859-022-05068-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706903/
https://www.ncbi.nlm.nih.gov/pubmed/36443658
http://dx.doi.org/10.1186/s12859-022-05068-0

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